1. Austin, P.M, and Houze, R.A (1972) Analysis of the structure of precipitation patterns in New England.
Journal of Applied Meteorology, Vol. 11, pp. 926-934. 10.1175/1520-0450(1972)011<0926:AOTSOP>2.0.CO;2.
2. Burlando, P, and Rosso, R (1996) Scaling and multiscaling models of depth-duration-frequency curves for storm precipitation.
Journal of Hydrology, Vol. 187, pp. 45-64. 10.1016/S0022-1694(96)03086-7.
3. Cho, H.G, Kim, G, and Yi, J.E (2014) Analysis of the Applicability of Parameter Estimation Methods for a Stochastic Rainfall Model.
Journal of the Korean Society of Civil Engineers, Vol. 24, No. No. 4, pp. 1105-1116 (in Korean). 10.12652/Ksce.2014.34.4.1105.
4. Cowpertwait, P.S.P (1991) Further developments of the Neyman- Scott clustered point process for modeling rainfall.
Water Resources Research, Vol. 27, No. No. 7, pp. 1431-1438. 10.1029/91WR00479.
5. Cowperwait, P.S.P, O’Connell, P.E, Metcalfe, A.V, and Mawdsley, J.A (1996) Stochastic point process modelling of rainfall. I. Single-site fitting and validation.
Journal of Hydrology, Vol. 175, pp. 17-46. 10.1016/S0022-1694(96)80004-7.
6. Entekhabi, D, Rodriguez-Iturbe, I, and Eagleson, P.S (1989) Probabilistic representation of the temporal rainfall by a modified Neyman-Scott rectangular pulse model: parameter estimation and validation.
Water Resources Research, Vol. 25, No. No. 2, pp. 295-302. 10.1029/WR025i002p00295.
7. Holland, J.H (1975).
Adaptation in Natural and Artificial Systems : an introductory analysis with applications to biology, control, and artificial intelligence. University of Michigan Press, N.J.
8. IPCC (2013)
Fifth Assessment Report(AR5), Climate Change 2013 : The Physical Science Basis.
9. Islam, S, Entekhabi, D, Bras, R.L, and Rodriguez-Iturbe, I (1990) Parameter estimation and sensitivity analysis for the modified Bartlett-Lewis rectangular pulses model of rainfall.
Journal of Geophysical Research, Vol. 95, No. No. D3, pp. 2093-2100. 10.1029/JD095iD03p02093.
10. Jung, C.S (2009) Study of direct parameter estimation for NeymanScott rectangular pulse model.
Journal of Korea Water Resources Association, Vol. 42, No. No. 11, pp. 1017-1028 (in Korean). 10.3741/JKWRA.2009.42.11.1017.
11. Kim, G, Cho, H.G, and Yi, J.E (2012) Parameter Estimation of the Neyman-Scott Rectangular Pulse Model Using a Differential Evolution Method.
Korean Society of Hazard Mitigation, Vol. 12, No. No. 4, pp. 187-194 (in Korean). 10.9798/KOSHAM.2012.12.4.187.
12. Kim, J.H, Lee, J.S, Lee, J.J, and Son, K.I (1998) A modeling of daily precipitation series using the Pois-son cluster process.
Journal of Korean Society of Civil Engineers, Vol. 18, No. No. 2(3), pp. 231-241 (in Korean).
13. Kum, J.-H, Ahn, J.-H, Kim, J.-H, and Yoon, Y.-N (2001). Parameter estimation of a point rainfall model, Neyman-Scott rectangular pulses model.
Proceedings of Korea Water Resources Association Conference. pp. 206-211 (in Korean).
14. Nam, W.S, Um, M.J, Shin, J.Y, Joo, K.W, and Heo, J.H (2011) The effects of climate change on rainfall quantile in Han River basin based on scaling invari-ance and NSRPM.
Proceeding of Korea Water Resources Association, pp. 68-72 (in Korean).
15. Rodriguez-Iturbe, I (1986) Scale of Fluctuation of Rainfall Models.
Water Resources Research, Vol. 22, No. No. 9, pp. 15-37. 10.1029/WR022i09Sp0015S.
16. Rodriguez-Iturbe, I, Cox, D.R, and Valerie, Isham (1987). Some models for rainfall based on stochastic point process.
Proceedings of the Rotal Society of London. Vol. A410: No. No. 1839, pp. 269-288.
17. Shin, J.Y, Jeong, C.S, Kim, T.S, and Heo, J.H (2008). Study of Direct parameter Estimation for Neyman- Scott rectangular pulse model.
Proceedings of Korean Society of Civil Engineers Conference. pp. 1612-1616 (in Korean).
18. Velghe, T, Troch, P.A, De Troch, F.P, and Van de Velde, J (1994) Evaluation of cluster-based rectangular pulse point process models for rainfal.
Water Resource Research, Vol. 30, No. No. 10, pp. 2847-2857. 10.1029/94WR01496.